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Articles 1921 - 1950 of 4606
Full-Text Articles in Engineering
Effect Of Sky Clearness Index On Transmission Of Evacuated (Vacuum) Glazing, Aritra Ghosh, Brian Norton, Aidan Duffy
Effect Of Sky Clearness Index On Transmission Of Evacuated (Vacuum) Glazing, Aritra Ghosh, Brian Norton, Aidan Duffy
Articles
Glazing transmittance variation with clearness index has higher influence than incident angle for soar energy application. This work presents variation of vacuum glazing transmittance with clearness index. Clearness index and transmittance was calculated from measured one year (2014) solar radiation and glazing transmittance data in Dublin, Ireland. Clearness index below 0.5 offer single value of transmittance whereas above 0.5 clearness index glazing transmittance varies with clearness index. For different azimuthal orientation, clearness index associated with vertical plane glazing transmittance has been proposed. In Dublin for south facing vertical plane, vacuum glazing has 35% transmittance below 0.5 clearness index. Yearly usable …
Developing Historic Building Information Modelling Guidelines And Procedures For Architectural Heritage In Ireland, Maurice Murphy, A. Corns, John Cahill, K. Eliashvli, Alain Chenaux, C. Pybus, R. Shaw, G. Devlin, A. Deevy, L. Truong-Hong
Developing Historic Building Information Modelling Guidelines And Procedures For Architectural Heritage In Ireland, Maurice Murphy, A. Corns, John Cahill, K. Eliashvli, Alain Chenaux, C. Pybus, R. Shaw, G. Devlin, A. Deevy, L. Truong-Hong
Articles
Cultural heritage researchers have recently begun applying Building Information Modelling (BIM) to historic buildings. The model is comprised of intelligent objects with semantic attributes which represent the elements of a building structure and are organised within a 3D virtual environment. Case studies in Ireland are used to test and develop the suitable systems for (a) data capture/digital surveying/processing (b) developing library of architectural components and (c) mapping these architectural components onto the laser scan or digital survey to relate the intelligent virtual representation of a historic structure (HBIM). While BIM platforms have the potential to create a virtual and intelligent …
Smart Motorway Innovation For Achieving Greater Safety And Hard Shoulder Management, Nicola Callaghan, Thomas Avery, Mark Mulville
Smart Motorway Innovation For Achieving Greater Safety And Hard Shoulder Management, Nicola Callaghan, Thomas Avery, Mark Mulville
Conference papers
"Smart" motorways are becoming more prevalent through technology-driven approaches such as active traffic management (ATM) systems, hard shoulder management (HSM) control systems and digital enforcement cameras. Such technologies are able to monitor and respond to fluctuating traffic conditions by altering the speed limit to smooth traffic flow, activate warning signs to alert users of hazards up ahead and permit the use of the hard shoulder, either permanently or at peak times. This paper investigates smart motorways as a way of reducing congestion achieving greater road safety and improving hard shoulder management. This research is one of the first which deals …
Photoluminescence Of Lead Sulfide Quantum Dots Of Different Sizes In A Nanoporous Silicate Glass Matrix, Aleksandr P. Litvin, Anton Babaev, Peter Parfenov, Elena Ushakova, Mikhail Baranov, Olga Andreeva, Kevin Berwick, Anatoly Fedorov, Alexander Baranov
Photoluminescence Of Lead Sulfide Quantum Dots Of Different Sizes In A Nanoporous Silicate Glass Matrix, Aleksandr P. Litvin, Anton Babaev, Peter Parfenov, Elena Ushakova, Mikhail Baranov, Olga Andreeva, Kevin Berwick, Anatoly Fedorov, Alexander Baranov
Articles
The optical properties of lead sulfide quantum dots (QDs) of different sizes embedded in a nanoporous silicate glass matrix (NSM) are investigated by steady-state and transient photoluminescence spectroscopy. The use of this matrix allows the fabrication of samples with reproducible optical characteristics, for both isolated and close-packed QDs. Low-temperature PL analysis of isolated QDs with sizes of 3.7 and 4.5 nm shows that the coefficient of temperature shift of the PL position changes sign with reducing QD size because of size-dependent contributions from thermal expansion, mechanical strain, and electron–phonon coupling. The PL intensity is determined by size-dependent splitting of the …
Time-Varying And Constant Switching Frequency-Based Sliding-Mode Control Methods For Transformerless Dvr Employing Half-Bridge Vsi, Hasan Komurcugil, Samet Biricik
Time-Varying And Constant Switching Frequency-Based Sliding-Mode Control Methods For Transformerless Dvr Employing Half-Bridge Vsi, Hasan Komurcugil, Samet Biricik
Articles
This paper presents time-varying and constant switching frequency based sliding-mode control (SMC) methods for three-phase transformerless dynamic voltage restorers (TDVRs) which employ half-bridge voltage source inverter. An equation is derived for the time-varying switching frequency. However, since the time-varying switching frequency is not desired in practice, a smoothing operation is applied to the sliding surface function within a narrow boundary layer with the aim of eliminating the chattering effect and achieving a constant switching frequency operation. The control signal obtained from the smoothing operation is compared with a triangular carrier signal to produce the pulse width modulation signals. The feasibility …
The Role Of The Dendritic Growth Models Dimensionality In Predicting The Columnar To Equiaxed Transition (Cet), M. Seredynski, Marek Rebow, J. Banaszek
The Role Of The Dendritic Growth Models Dimensionality In Predicting The Columnar To Equiaxed Transition (Cet), M. Seredynski, Marek Rebow, J. Banaszek
Articles
The dendrite tip kinetics model accuracy relies on the reliability of the stability constant used, which is usually experimentally determined for 3D situations and applied to 2D models. The paper reports authors` attempts to cure the situation by deriving 2D dendritic tip scaling parameter for aluminium-based alloy: Al-4wt%Cu. The obtained parameter is then incorporated into the KGT dendritic growth model in order to compare it with the original 3D KGT counterpart and to derive two-dimensional and three-dimensional versions of the modified Hunt’s analytical model for the columnar-to-equiaxed transition (CET). The conclusions drawn from the above analysis are further confirmed through …
The Electrochemical Deposition Of Zn-Mn Coating From Choline Choloride-Urea Deep Eutectic Solvent, Mihael Bucko, David Culliton, Tony Betts, Jelena Bajat
The Electrochemical Deposition Of Zn-Mn Coating From Choline Choloride-Urea Deep Eutectic Solvent, Mihael Bucko, David Culliton, Tony Betts, Jelena Bajat
Articles
Electrochemical and microscopic techniques were used for characterization of Zn˗Mn coatings electrodeposited from choline chloride˗urea deep eutectic solvent. Cyclic voltammograms show that there was no discernible Mn reduction peak when only Mn2+ was present in DES solution. The distinct Mn peak developed only upon addition of Zn2+ to the solution, probably due to previous Zn nucleation on the steel substrate. It was found that 22-27 wt.% Mn, was deposited at current densities of 3-8 mA cm-2, amounts significantly higher than in aqueous electrolytes. Since higher deposition current densities resulted in the formation of a porous surface consisting of clusters of …
Determination Of Reliable Fatigue Life Predictors For Magnetorheological Elastomers Under Dynamic Equi-Biaxial Loading, Yangen Zhou, Liang Jiang, Shaojuan Chen, Jianwei Ma, Tony Betts, Stephen Jerrams
Determination Of Reliable Fatigue Life Predictors For Magnetorheological Elastomers Under Dynamic Equi-Biaxial Loading, Yangen Zhou, Liang Jiang, Shaojuan Chen, Jianwei Ma, Tony Betts, Stephen Jerrams
Articles
Fatigue life prediction is of great significance in ensuring magnetorheological elastomer (MRE) based rubber components exhibit reliability and do not compromise safety under complex loading and this necessitates the development of plausible fatigue life predictors for MREs. In this research, silicone rubber based MREs were fabricated by incorporating soft carbonyl iron magnetic particles. Equi-biaxial fatigue behaviour of the fabricated MREs was investigated by using the bubble inflation method. The relationship between fatigue life and maximum engineering stress, maximum strain and strain energy density were studied. The results showed that maximum engineering stress and stored energy density can be used as …
Clustering Opportunistic Ant-Based Routing Protocol For Wireless Sensor Networks, Xinlu Li, Brian Keegan, Fredrick Mtenzi
Clustering Opportunistic Ant-Based Routing Protocol For Wireless Sensor Networks, Xinlu Li, Brian Keegan, Fredrick Mtenzi
Conference papers
The wireless Sensor Networks (WSNs) have a wide range of applications in many ereas, including many kinds of uses such as environmental monitoring and chemical detection. Due to the restriction of energy supply, the improvement of routing performance is the major motivation in WSNs. We present a Clustering Opportunistic Ant-based Routing protocol (COAR), which comprises the following main contributions to achieve high energy efficient and well load-balance: (i) in the clustering algorithm, we caculate the theoretical value of energy dissipation, which will make the number of clusters fluctuate around the expected value, (ii) define novel heuristic function and pheromone update …
Application Of Artificial Intelligence For Detecting Derived Viruses, Omotayo Asiru, Moses Dlamini, Jonathan Blackledge
Application Of Artificial Intelligence For Detecting Derived Viruses, Omotayo Asiru, Moses Dlamini, Jonathan Blackledge
Conference papers
Computer viruses have become complex and operates in a stealth mode to avoid detection. New viruses are argued to be created each and every day. However, most of these supposedly ‘new’ viruses are not completely new. Most of the supposedly ‘new’ viruses are not necessarily created from scratch with completely new (something novel that has never been seen before) mechanisms. For example, most of these viruses just change their form and signatures to avoid detection. But their operation and the way they infect files and systems is still the same. Hence, such viruses cannot be argued to be new. In …
A Hardware One-Time Pad Prototype Generator For Localising Cloud Security, Jonathan Blackledge, Paul Tobin, Lee Tobin, Mick Mckeever
A Hardware One-Time Pad Prototype Generator For Localising Cloud Security, Jonathan Blackledge, Paul Tobin, Lee Tobin, Mick Mckeever
Conference papers
Abstract: In this paper, we examine a system for encrypting data before storing in the Cloud. Adopting this system gives excellent security to stored data and complete control for accessing data by the client at different locations. The motivation for developing this personal encryption came about because of poor Cloud security and doubts over the safety of public encryption algorithms which might contain backdoors. However, side-channel attacks and other unwanted third-party interventions in Cloud security, probably contribute more to the poor security record history. These factors led to the development of a prototype for personalising security locally which defeats cryptanalysis. …
Application Of Artificial Intelligence For Detecting Computing Derived Viruses, Jonathan Blackledge, Omotayo Asiru, Moses Dlamini
Application Of Artificial Intelligence For Detecting Computing Derived Viruses, Jonathan Blackledge, Omotayo Asiru, Moses Dlamini
Conference papers
Computer viruses have become complex and operates in a stealth mode to avoid detection. New viruses are argued to be created each and every day. However, most of these supposedly ‘new’ viruses are not completely new. Most of the supposedly ‘new’ viruses are not necessarily created from scratch with completely new (something novel that has never been seen before) mechanisms. For example, most of these viruses just change their form and signatures to avoid detection. But their operation and the way they infect files and systems is still the same. Hence, such viruses cannot be argued to be new. In …
Investigation Of Electrical Defects Arising From Excessive Sidewall Force And Excessive Tensile Strain On Power Cables, Darren Mcconnon, Joseph Kearney, Tom Looby, James O'Shaughnessy
Investigation Of Electrical Defects Arising From Excessive Sidewall Force And Excessive Tensile Strain On Power Cables, Darren Mcconnon, Joseph Kearney, Tom Looby, James O'Shaughnessy
Conference papers
The study includes a comprehensive review of the existing literature and guidelines regarding the effects of sidewall force and tensile strain on power cables during installation. The most appropriate diagnostic test methods required to analyse these effects are also assessed. The results of tests and analysis of the existing literature are then combined in an attempt to determine a realistic basis for guidelines and recommendations relevant to cable installation forces.
A Review Of Control Methodologies For Dynamic Glazing, Eoin D. Mclean, Brian Norton, Derek Kearney, Philippe Lemarchand
A Review Of Control Methodologies For Dynamic Glazing, Eoin D. Mclean, Brian Norton, Derek Kearney, Philippe Lemarchand
Conference papers
With adaptive building façade technologies, a building envelope can provide a comfortable indoor environment under varying external conditions with minimal additional heating or cooling. The control strategy applied to the adaptation of the façade is a key determining factor in the successful integration of these technologies into a building. The building envelope plays a key role in regulating light, heat and mass transfer from the outdoor environment to the indoor. Dynamic glazing can be used to adjust the amount of solar radiation entering a building. The control strategies that ultimately determine the success of these switchable technologies to affect a …
Switchable Windows - Spectral Transmission And Switching Times, Philippe Lemarchand, Eoin D. Mclean, Brian Norton
Switchable Windows - Spectral Transmission And Switching Times, Philippe Lemarchand, Eoin D. Mclean, Brian Norton
Conference papers
The switching time and spectral transmission in fully clear and fully opaque states of polymer dispersed liquid crystals (PDLC), suspended particle device (SPD) and electrochromic (EC) switchable windows were evaluated to assess their suitability to control solar heat transmission though glazed façade and comfort to building occupants. The transmission measurement on a SPD film showed a very effective absorption modulation in the visible range but fast decrease in the near infrared region. The switching speed was demonstrated to be related strongly to wavelengths. A SPD film with a larger absorption and faster switching speed in the infrared region was shown …
Reactive Power Control For Smarter (Urban) Distribution Network Management With Increasing Integration Of Renewable Prosumers, Arsalan Zaidi, Keith Sunderland, Massimiliano Coppo, Michael Conlon, Roberto Turri
Reactive Power Control For Smarter (Urban) Distribution Network Management With Increasing Integration Of Renewable Prosumers, Arsalan Zaidi, Keith Sunderland, Massimiliano Coppo, Michael Conlon, Roberto Turri
Conference papers
Smart cities need to deliver reliable electric energy while utilizing every renewable energy source available in a sustainable manner. Increasing renewable electricity capacity, through Distributed Generation (DG) such as small wind and PV generation, causes difficulties for the distribution network operator (DNO) in sustaining adequate and appropriate power quality across the network. The positive impacts provided by such energy sources can be undermined by voltage increases and voltage balance issues. To overcome these problems, urban distribution networks need to transform ideally into smarter energy networks that can deliver renewable electricity locally, predictably and in a controllable and optimized manner. The …
Risk Registers: Structuring Data Collection To Develop Risk Intelligence, Maria Chiara Leva, Nora Balfe, B. Mcaleer, M. Rock
Risk Registers: Structuring Data Collection To Develop Risk Intelligence, Maria Chiara Leva, Nora Balfe, B. Mcaleer, M. Rock
Articles
This paper presents the results of the development and implementation of a company-wide risk register, based on a clear set of data structures. A case study from an electricity generation company is presented and the process followed is described. The results of the case study indicated areas where the concept of risk registers could be extended to make better use of existing data and to support continuous improvement of risk management. Six key areas are discussed (1) aggregation of risks across the business, (2) supporting controls over mitigation measures, (3) improved estimation of event likelihood, (4) integrating with critical asset …
Precision Control Of Flow Rate In Microfluidic Channels Using Photoresponsive Soft Polymer Actuators, Colm Delaney, Peter Mccluskey, Simon Coleman, Jeffrey Whyte, Nigel Kent, Dermot Diamond
Precision Control Of Flow Rate In Microfluidic Channels Using Photoresponsive Soft Polymer Actuators, Colm Delaney, Peter Mccluskey, Simon Coleman, Jeffrey Whyte, Nigel Kent, Dermot Diamond
Articles
A novel approach that allows control of flow in microfluidic channels with unsurpassed performance using light is described. Valve structures have been created using photoresponsive hydrogels based on spiropyran-functionalised pNIPAAm hydrogels photopolymerised around pillar structures within the channels. Valve actuation is controlled from outside the fluidic system using externally located LEDs. Highly precise and accurate flow rates can be selected by passing real-time flow rate measurements into a PID algorithm. The optimised algorithm also minimises overshoot of the selected flow rate, eliminates flow rate drift, and improves the system response time. In addition to the dramatic improvements in flow rate …
Towards Improving Visqol (Virtual Speech Quality Objective Listener) Using Machine Learning Techniques, Joseph Mcnally
Towards Improving Visqol (Virtual Speech Quality Objective Listener) Using Machine Learning Techniques, Joseph Mcnally
Dissertations
Vast amounts of sound data are transmitted every second over digital networks. VoIP services and cellular networks transmit speech data in increasingly greater volumes. Objective sound quality models provide an essential function to measure the quality of this data in real-time. However, these models can suffer from a lack of accuracy with various degradations over networks. This research uses machine learning techniques to create one support vector regression and three neural network mapping models for use with ViSQOLAudio. Each of the mapping models (including ViSQOL and ViSQOLAudio) are tested against two separate speech datasets in order to comparatively study accuracy …
Oxygen Transport In Carotid And Stented Coronary Arteries, Eoin A. Murphy
Oxygen Transport In Carotid And Stented Coronary Arteries, Eoin A. Murphy
Doctoral
Oxygen deficiency, known as hypoxia, in arterial walls has been linked to increased intimal hyperplasia, which is the main adverse biological process causing in-stent restenosis. Stent implantation can have significant effects on the oxygen transport into the arterial wall. Helical flow has been theorised to improve the local haemodynamics and the oxygen transport within stented arteries. In this study an advanced oxygen transport model was developed to assess different stent designs. This advanced oxygen transport model incorporates both the free and bound oxygen contained in blood and includes a shear-dependent dispersion coefficient for red blood cells. In two test cases …
Critical Comparison Of The Classification Ability Of Deep Convolutional Neural Network Frameworks With Support Vector Machine Techniques In The Image Classification Process, Robert Kelly
Dissertations
Recently, a number of new image classification models have been developed to diversify the number of options available to prospective machine learning classifiers, such as Deep Learning. This is particularly important in the field of medical image classification as a misdiagnosis could have a severe impact on the patient. However, an assessment on the level to which a deep learning based Convolutional Neural Network can outperform a Support Vector Machine has not been discussed. In this project, the use of CNN and SVM classifiers is used on a dataset of approx. 55,000 images. This dataset was used to assess the …
Benchmarking Javascript Frameworks, Carl Lawrence Mariano
Benchmarking Javascript Frameworks, Carl Lawrence Mariano
Dissertations
JavaScript programming language has been in existence for many years already and is one of the most widely known, if not, the most used front-end programming language in web development. However, JavaScript is still evolving and with the emergence of JavaScript Frameworks (JSF), there has been a major change in how developers develop software nowadays. Developers these days often use more than one framework in order to fulfil their job which has given rise to the problem for developers when it comes to choosing the right JavaScript framework to develop software which is partly due to the availability of countless …
An Exploration Study Of Using The Universities Performance And Enrolments Features For Predicting The International Quality, Aeshah Althagafi
An Exploration Study Of Using The Universities Performance And Enrolments Features For Predicting The International Quality, Aeshah Althagafi
Dissertations
Quality ranking systems are crucial in the assessment of the academic performance of an institution because these assessment systems give details about how different learning institutions deliver their services. Education quality is also of paramount importance to the students because it is through quality education that these students develop skills that are needed in the job market. Besides, education enhances a student's academic and reasoning capacities. When universities are subjected to ranking systems, they are likely to improve their quality to be ranked high in the system. When the university administrators are exposed to ranking, competition gears up. Through competition, …
Exploring The Factors That Affect Secondary Student’S Mathematics And Portuguese Performance In Portugal, Lulu Cheng
Exploring The Factors That Affect Secondary Student’S Mathematics And Portuguese Performance In Portugal, Lulu Cheng
Dissertations
Secondary education provides not only knowledge and skills, but also inculcates values, training of instincts, fostering right attitude and habits to enable adolescents to move into tertiary education or to ensure a workplace for students who decided to terminate their secondary schooling. Without secondary education to guide the development of young people through their adolescence, they will be ill prepared for tertiary education or for workplace, moreover, the possibility of juvenile delinquency and teenage pregnancy becomes higher. These negative effects will increase the pressures and expenditures on society and socio-economic. In 2006, Portugal was reported having the higher school-leaving rate …
The Influence Of Sensor-Based Intelligent Traffic Light Control On Traffic Flow In Dublin, Katja Rademacher
The Influence Of Sensor-Based Intelligent Traffic Light Control On Traffic Flow In Dublin, Katja Rademacher
Dissertations
With growing cities and the increased use of vehicles for transportation purposes, there is a demand to make the traffic management in cities smarter. An intelligent traffic light control that dynamically adapts to the existing traffic conditions can help reduce traffic congestion and CO2 emissions. This thesis reviews the popular traffic light control approaches - static, actuated and adaptive – based on their influences on recorded traffic conditions in Dublin. The Irish capital relies heavily on busses for public transport adding to the number of already moving vehicles in the city centre. Using vehicle count data from inductive loop detectors …
Comparison Study Of The Most Common Virtual Machine Load Balancing Algorithms In Large-Scale Cloud Environment Using Cloud Simulator, Rowaa Filimban
Comparison Study Of The Most Common Virtual Machine Load Balancing Algorithms In Large-Scale Cloud Environment Using Cloud Simulator, Rowaa Filimban
Dissertations
This is era of internet. There is barely any field where internet do not play important role. Nowadays, CloudComputing links to the internet that has rebelled the whole universe. CloudComputing is a rapid enlarging domain in computing industry and research. Three main services offered by the cloud are SaaS, PaaS and IaaS. With the technology advancement of the CloudComputing, there are many new chances pioneer on how applications can be developed and how several services can be provided to the end user throughout Virtualization, on the internet. What's more, there are cloud service providers who offer and provide large-scaled computing …
Physical Human Activity Recognition Using Machine Learning Algorithms, Haritha Vellampalli
Physical Human Activity Recognition Using Machine Learning Algorithms, Haritha Vellampalli
Dissertations
With the rise in ubiquitous computing, the desire to make everyday lives smarter and easier with technology is on the increase. Human activity recognition (HAR) is the outcome of a similar motive. HAR enables a wide range of pervasive computing applications by recognizing the activity performed by a user. In order to contribute to the multi facet applications that HAR is capable to offer, predicting the right activity is of utmost importance. Simplest of the issues as the use of incorrect data manipulation or utilizing a wrong algorithm to perform prediction can hinder the performance of a HAR system. This …
Application Of Supervised Machine Learning To Predict The Mortality Risk In Elderly Using Biomarkers, Priyanka Sonkar
Application Of Supervised Machine Learning To Predict The Mortality Risk In Elderly Using Biomarkers, Priyanka Sonkar
Dissertations
The idea of long-term survival amongst older individuals has been a major medical and social concern. A wide range of biomarkers have been identified to prospectively predict disability, morbidity, and mortality outcomes in older adult populations. The machine learning techniques applied with clinically relevant biomarkers provide new ways of understanding diseases and solutions to tackle challenges to the health of the aging population. This paper describes two supervised machine learning techniques, Logistic Regression (LR) and Support Vector Machine (SVM) which are used in the prediction of the mortality in elderly people. LR is one of the traditionally used predictive modeling …
Modeling Mortgage Assessment With Computational Argumentation Theory And Defeasible Reasoning, Henrik Szucs
Modeling Mortgage Assessment With Computational Argumentation Theory And Defeasible Reasoning, Henrik Szucs
Dissertations
In the mortgage lending business of a bank, a key focus area is risk analysis, which supports the mortgage awarding process and the prediction of the risk of defaulting (repayment issues). The standard risk assessment method at most banks is a scorecard calculation. A new way of predicting the defaulting is proposed using Defeasible Reasoning (DR) and computational Argumentation Theory (AT), areas of interdisciplinary research, in the discipline of Articial Intelligence (AI). Argumentation is formalised by reasoning models which are inspired by human reasoning. For a more realistic representation AT employs DR which is a non-monotonic reasoning process, meaning that …
A Correction Current Injection Method For Power Flow Analysis Of Unbalanced Multiple-Grounded 4-Wire Distribution Networks, Keith Sunderland, M. Coppo, Michael Conlon, R. Turri
A Correction Current Injection Method For Power Flow Analysis Of Unbalanced Multiple-Grounded 4-Wire Distribution Networks, Keith Sunderland, M. Coppo, Michael Conlon, R. Turri
Articles
Power flow analysis of distribution networks incorporating LV consumer representation needs to be cognizant of an unbalanced load structure and the grounding network between the consumer and network operator (TNC-S earthing). In this paper, the asymmetrical 3-phase (and neutral) power flow problem is solved by a correction current injectionmethodology applied to a system represented by a complex admittance matrix. The correction current injection technique is adopted to adjust the power exchange of shunt elements, whose nominal admittances are included in the system admittance matrix, through suitable fringing currents in the iteration process. This methodology offers an improved and more …